Evidence map›Paper›PMID 28740058›Full record

ArticleJournal of atherosclerosis and thrombosis2018

The Association between Social Network Betweenness and Coronary Calcium: A Baseline Study of Patients with a High Risk of Cardiovascular Disease.

Won-Tak Joo, Chan Joo Lee, Jaewon Oh, In-Cheol Kim, Sang-Hak Lee, Seok-Min Kang, Hyeon Chang Kim, Sungha Park, Yoosik Youm

Registry-linked trialOpen access · diamondAbstract read
In one paragraph

Article in Journal of atherosclerosis and thrombosis, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02003781 (Individualized Prevention Strategy for High Risk Patients in Cardiovascular Disease), which is not on this map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 24% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT02003781 unknown statusnot on this map

Individualized Prevention Strategy for High Risk Patients in Cardiovascular Disease: Prospective Cohort Study (Cardiovascular and Metabolic Disease Etiology Research Center - HIgh Risk Cohort) CMERC-HI

TypeobservationalSponsorYonsei UniversityRan2013 to 2023Enrolled4,000ConditionsHigh Risk Cardiovascular Disease Patients
3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Review
  3. Neurobiological Bases of Social Networks.Frontiers in psychology · 2021
    Review
  4. Sex differences in the association between social relationships and insomnia symptoms.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2020
    Article
  5. Social Network Structure and Atherosclerotic Cardiovascular Disease.Journal of atherosclerosis and thrombosis · 2018
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 3 countries.

Won-Tak JooDepartment of Sociology, University of Wisconsin-Madison.
Chan Joo LeeCardiology Division, Severance Cardiovascular Hospital and Cardiovascular Research Institute, Yonsei University College of Medicine.
Jaewon OhCardiology Division, Severance Cardiovascular Hospital and Cardiovascular Research Institute, Yonsei University College of Medicine.
In-Cheol KimDivision of Cardiology, Department of Internal Medicine, Dongsan Medical Center, Keimyung University College of Medicine.
Sang-Hak LeeCardiology Division, Severance Cardiovascular Hospital and Cardiovascular Research Institute, Yonsei University College of Medicine.
Seok-Min KangCardiology Division, Severance Cardiovascular Hospital and Cardiovascular Research Institute, Yonsei University College of Medicine.
Hyeon Chang KimDepartment of Preventive Medicine, Yonsei University College of Medicine.
Sungha ParkCardiology Division, Severance Cardiovascular Hospital and Cardiovascular Research Institute, Yonsei University College of Medicine.
Yoosik YoumDepartment of Sociology, Yonsei University.
Cardiovascular Institute Hospital · JPYonsei University · KRKeimyung University · KRUniversity of Wisconsin–Madison · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThe association of social networks with cardiovascular disease (CVD) has been demonstrated through various studies. This study aimed to examine the association between social network betweenness -a network position of mediating between diverse social groups-and coronary artery calcium.

methodsThe data of 1,384 participants from the Cardiovascular and Metabolic Disease Etiology Research Center-High Risk Cohort, a prospective cohort study enrolling patients with a high risk of developing CVD (clinicaltrials.gov: NCT02003781), were analyzed. The deficiency in social network betweenness was measured in two ways: only-family networks, in which a respondent had networks with only family members, and no-cutpoint networks, in which the respondent does not function as a point of bridging between two or more social groups that are not directly connected.

resultsParticipants who had higher coronary artery calcium scores (CACSs) were likely to have a smaller network size (p<0.001), only-family networks (p<0.001), and no-cutpoint networks (p<0.001). Multiple logistic regression analyses revealed no significant association between network size and CACS. Only no-cutpoint networks had a significant relationship with CACS >400 (odds ratio, 1.72; 95% confidence interval, 1.07-2.77; p=0.026). The association was stronger among older (age >60 years) and female respondents.

conclusionDeficiency in social network betweenness is closely related to coronary calcium in participants with a high risk of CVD. To generalize these results to a general population, further study should be performed.

Indexed as

Social SupportAgedCalciumCoronary Artery DiseaseFemaleFollow-Up StudiesHumansMaleMiddle AgedPrognosisRepublic of KoreaRisk AssessmentVascular CalcificationCalciumCardiovascular diseaseCoronary calcium scoreRisk factorSocial networks

Identifiers

PMID28740058
PMCPMC5827083
OpenAlexW2739272515

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.